Rockset

MARCH 1, 2023

When you deconstruct the core database architecture, deep in the heart of it you will find a single component that is performing two distinct competing functions: real-time data ingestion and query serving. When data ingestion has a flash flood moment, your queries will slow down or time out making your application flaky.

Data Ingestion 144

Data Ingestion Database Architecture Cloud Storage 144

Lyft Engineering

NOVEMBER 29, 2023

Druid at Lyft Apache Druid is an in-memory, columnar, distributed, open-source data store designed for sub-second queries on real-time and historical data. Druid enables low latency (real-time) data ingestion, flexible data exploration and fast data aggregation resulting in sub-second query latencies.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Data Engineering Podcast

JULY 3, 2022

In this episode they explain how the utility is implemented to run quickly and how you can start using it in your own data workflows to ensure that your data warehouse isn’t missing any records from your source systems. Random data doesn’t do it — and production data is not safe (or legal) for developers to use.

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Data Engineering Weekly

MARCH 24, 2024

Moirai utilizes a large, diverse dataset and innovative techniques like any-variate attention and multiple patch-size projection layers to model complex, variable patterns. It addresses challenges across multiple domains and frequencies with zero-shot forecasting capabilities.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Data Engineering Podcast

MAY 29, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. In fact, while only 3.5%

Architecture 100

Architecture Database Data Architecture PostgreSQL 100

Data Engineering Podcast

JULY 31, 2022

Summary Exploratory data analysis works best when the feedback loop is fast and iterative. This is easy to achieve when you are working on small datasets, but as they scale up beyond what can fit on a single machine those short iterations quickly become long and tedious. In fact, while only 3.5% That’s where our friends at Ascend.io

Data Analysis 100

Data Analysis MongoDB Scala Algorithm 100

Knowledge Hut

APRIL 23, 2024

Gradually, data storage and processing systems evolved, and today, we see it in one of its most advanced forms, the cloud. Early Challenges and Limitations in Data Handling The history of data management in big data can be traced back to manual data processing—the earliest form of data processing, which makes data handling quite painful.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities.

Data Process 75

Data Process Process Raw Data Data 75

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Ingestion 40

Data Ingestion Data Government Datasets 40

Data Engineering Weekly

OCTOBER 30, 2022

There is no mention of data management in general, but mainly of usage and operational factors. Nothing groundbreaking will happen on data management in 2023, but I expect a little momentum behind data management towards the end.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake. Image courtesy of Databricks.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake. Image courtesy of Databricks.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Ascend.io

AUGUST 29, 2023

Just as every play and position in baseball is key to a win, each component of a data pipeline is integral to effective data management. Similarly , in data, every step of the pipeline, from data ingestion to delivery, plays a pivotal role in delivering impactful results.

Data Pipeline 52

Data Pipeline Pipeline-centric Database-centric Data Ingestion 52

Ascend.io

AUGUST 10, 2023

Technical Constraints Technical constraints pose another significant hurdle for data projects in a startup environment. These constraints include: Large Datasets: Startups generate a significant volume of data, from product features to log data.

Building 52

Building Data Pipeline Data Ingestion Datasets 52

Towards Data Science

NOVEMBER 4, 2023

Indeed, datalakes can store all types of data including unstructured ones and we still need to be able to analyse these datasets. Indeed, why would we build a data connector from scratch if it already exists and is being managed in the cloud? You can change these # to conform to your data. Datalake example.

Data Engineering 82

Data Engineering Data Engineer Engineering BI 82

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . For this, the RTA transformed its data ingestion and management processes. .

Transportation 110

Transportation Telecommunication Banking Data Lake 110

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Table of Contents The Common Threads: Ingest, Transform, Share Before we explore the differences between the ETL process and a data pipeline , let’s acknowledge their shared DNA.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection? It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. No wonder only 0.5

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

AUGUST 29, 2023

If your organization fits into one of these categories and you’re considering implementing advanced data management and analytics solutions, keep reading to learn how data lakes work and how they can benefit your business. Real-time ingestion immediately brings data into the data lake as it is generated.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Engineering at Meta

MARCH 9, 2023

Meta is introducing Velox, an open source unified execution engine aimed at accelerating data management systems and streamlining their development. Velox helps consolidate and unify data management systems in a manner we believe will be of benefit to the industry. Velox is under active development.

Engineering 74

Engineering Java Data Ingestion Bytes 74

Precisely

MAY 13, 2024

A true enterprise-grade integration solution calls for source and target connectors that can accommodate: VSAM files COBOL copybooks open standards like JSON modern platforms like Amazon Web Services ( AWS ), Confluent , Databricks , or Snowflake Questions to ask each vendor: Which enterprise data sources and targets do you support?

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Databand.ai

JULY 17, 2023

DataOps , short for Data Operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data management processes. It aims to streamline the entire data lifecycle—from ingestion and preparation to analytics and reporting.

Data Pipeline 52

Data Pipeline Machine Learning High Quality Data Data Ingestion 52

Precisely

SEPTEMBER 11, 2023

” Solution: An automated data analysis tool can identify personally identifiable information (PII) within existing and new datasets and automatically apply security policies based on the findings. Problem: “We face challenges in manually classifying, cataloging, and organizing large volumes of data.”

Metadata 52

Metadata Data Integration Datasets Data Analysis Tools 52

Data Engineering Weekly

NOVEMBER 20, 2022

Google AI: The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentation Google published Data Cards , a dataset documentation framework aimed at increasing transparency across dataset lifecycles. link] The short YouTube video gives a nice overview of the Data Cards.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Conclusion.

Manufacturing 107

Manufacturing Data Warehouse Kafka Retail 107

Ascend.io

JUNE 6, 2023

Ascend Views Ascend Views is a new component in the platform that transforms your data without persisting it, reducing both end-to-end processing time and storage costs. Given the big-data nature of Ascend, our platform utilizes Spark under the hood for many of the data management operations that make it tick.

Cloud 52

Cloud Data Pipeline Data Ingestion Cloud Storage 52

Cloudera

SEPTEMBER 7, 2023

Given the complexity of the datasets used to train AI systems, and factoring in the known tendency of generative AI systems to invent non-factual information, this is no small task. By embedding intelligence at the data platform-level, it becomes possible to accelerate the pace at which financial institutions can operationalize AI solutions.

Insurance 81

Insurance Finance Portfolio Government 81

Monte Carlo

APRIL 24, 2023

We continuously hear data professionals describe the advantage of the Snowflake platform as “it just works.” Snowpipe and other features makes Snowflake’s inclusion in this top data lake vendors list a no-brainer. AWS is one of the most popular data lake vendors. A picture of their Lake Formation architecture.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Knowledge Hut

SEPTEMBER 26, 2023

Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. Designed to tackle the challenges of modern data management and analytics, Azure Synapse brings together the worlds of big data and data warehousing into a unified and seamlessly integrated platform.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

RandomTrees

SEPTEMBER 6, 2020

The data ingestion cycle usually comes with a few challenges like high data ingestion cost, longer wait time before analytics is performed, varying standard for data ingestion, quality assurance and business analysis of data not being sustained, impact of change bearing heavy cost and slow execution.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Cloudera

SEPTEMBER 9, 2022

We’re asking new and more complex questions of our data to gain even greater insights. We’re bringing in new data sets in real time, from more diverse sources than ever before. These new innovations bring with them new challenges for our data management solutions.

Architecture 100

Architecture Metadata Unstructured Data Machine Learning 100

phData: Data Engineering

SEPTEMBER 19, 2023

With many data modeling methodologies and processes available, choosing the right approach can be daunting. This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. What is a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Monte Carlo

NOVEMBER 14, 2023

How data observability can increase data trust in Iceberg tables What is Apache Iceberg? Apache Iceberg is an open source data lakehouse table format developed by the data engineering team at Netflix to provide a faster and easier way to process large datasets at scale.

Data Lake 64

Data Lake Metadata Data Warehouse SQL 64

Towards Data Science

MAY 3, 2023

One such tool is the Versatile Data Kit (VDK), which offers a comprehensive solution for controlling your data versioning needs. VDK helps you easily perform complex operations, such as data ingestion and processing from different sources, using SQL or Python.

Data Lake 83

Data Lake Data SQL Data Warehouse 83

Monte Carlo

MARCH 24, 2023

We often refer to these issues as data freshness or stale data. For example: The source system could provide corrupt data or rows with excessive NULLs. A poorly coded data pipeline could introduce an error during the data ingestion phase as the data is being clean or normalized.

Data Validation 52

Data Validation Data Integration Data Cleanse Data Pipeline 52

Striim

APRIL 1, 2024

Its design prioritizes ease of use and exceptional performance, ensuring fast and efficient data transfer for real-time analytics and smarter decision-making. Key Features Automated Data Management: Automated schema creation, initial loading of historical Stripe data, and continuous real-time syncs to BigQuery.

Hospitality 52

Hospitality Transportation Google Cloud Cloud 52

Monte Carlo

OCTOBER 5, 2023

So, in order for your company to uncover the true value of its data, you must take a structured approach to data quality. That’s where data quality standards come into play. Some organizations evaluate data quality metrics based on statistical analysis , conducting a comprehensive review of data patterns and trends.

Government 52

Government Data Governance Data Datasets 52